Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
6309
Single Precision Score
6295
Half Precision Score
15871
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 15 2025 11:35 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z690 TORPEDO (MS-7D32) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3788
704.4 IPS |
|
|
Image Classification (HP)
|
100% |
3780
703.0 IPS |
|
|
Image Classification (Q)
|
100% |
10261
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5327
86.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5248
85.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11762
190.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9170
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9212
10.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
34327
40.2 IPS |
|
|
Object Detection (SP)
|
100% |
3497
277.4 IPS |
|
|
Object Detection (HP)
|
100% |
3481
276.1 IPS |
|
|
Object Detection (Q)
|
88% |
11309
906.6 IPS |
|
|
Face Detection (SP)
|
100% |
11405
135.5 IPS |
|
|
Face Detection (HP)
|
100% |
11425
135.8 IPS |
|
|
Face Detection (Q)
|
100% |
26557
315.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10095
77.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10080
77.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
30330
235.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26944
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27044
34.8 IPS |
|
|
Style Transfer (Q)
|
98% |
95518
123.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4865
179.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4865
179.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17679
654.7 IPS |
|
|
Text Classification (SP)
|
100% |
3178
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (Q)
|
92% |
5825
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3220
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3186
54.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2732
47.1 IPS |
